Research Explorer

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Project

HEROI2C: Hybrid machinE leaRning for Improved Infection management in Critically ill patients

Publications

Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients

Jarne VerhaegheThomas De CorteChristopher M. SauerTom HendriksOlivier W.M. ThijssensFemke OngenaePaul ElbersJan De WaeleSofie Van Hoecke

A1 Journal Article in INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Pathogen-based target attainment of optimized continuous infusion dosing regimens of piperacillin-tazobactam and meropenem in surgical ICU patients : a prospective single center observational study

Thomas De CorteJarne VerhaegheSofie DhaeseSarah Van VoorenJerina BoelensAlain VerstraeteVeronique StoveFemke OngenaeLiesbet De BusPieter DepuydtSofie Van HoeckeJan De Waele et al.

A1 Journal Article in ANNALS OF INTENSIVE CARE

Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients

Jarne VerhaegheSofie DhaeseThomas De CorteDavid Vander MijnsbruggeHeleen AardemaJan G. ZijlstraAlain VerstraeteVeronique StovePieter ColinFemke OngenaeJan De WaeleSofie Van Hoecke et al.

A1 Journal Article in BMC MEDICAL INFORMATICS AND DECISION MAKING

Artificial intelligence in infection management in the ICU

Thomas De CorteSofie Van HoeckeJan De Waele

A1 Journal Article in CRITICAL CARE

The future of antimicrobial dosing in the ICU : an opportunity for data science

Thomas De CortePaul ElbersJan De Waele

A1 Journal Article in INTENSIVE CARE MEDICINE